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autotrain-person-name-validity1-1655358687
Akshata/autotrain-person-name-validity1-1655358687
autotrain-person-name-validity1-1655358687 is a token classification model from Akshata. Use it when you need labels on individual words, such as names. It is set up for transformers.
- Problem type: Entity Extraction - Model ID: 1655358687 - CO2 Emissions (in grams): 0.0150
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At a glance
- Task
- Token Classification
- Library
- transformers
- Access
- Public
- Created
- Oct 4, 2022
- Updated
- Oct 4, 2022
- SHA
- dafa065f
Try a prompt
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Entity Extraction
- Model ID: 1655358687
- CO2 Emissions (in grams): 0.0150
Validation Metrics
- Loss: 0.038
- Accuracy: 0.991
- Precision: 0.000
- Recall: 0.000
- F1: 0.000
Usage
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/Akshata/autotrain-person-name-validity1-1655358687
Or Python API:
from transformers import AutoModelForTokenClassification, AutoTokenizer
model = AutoModelForTokenClassification.from_pretrained("Akshata/autotrain-person-name-validity1-1655358687", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("Akshata/autotrain-person-name-validity1-1655358687", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)
- Task
- Token Classification
- Library
- transformers
- Languages
- en
- Created
- Oct 4, 2022
- Updated
- Oct 4, 2022